Report Dec 21, 2023

DataOps: In Theory and Practice - Executive Summary

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Investment management firms are transitioning to DataOps as they seek to improve analytics support, scale and manage more data, serve more data consumers, and improve collaboration and communication.

Transitioning data operations to DataOps includes expanding responsibilities as well as applying standard DataOps concepts - Agile development, lean manufacturing, and DevOps - to reduce investment management data challenges and enhance support. A key driver of this transition is a firm's desire to improve enterprise-wide support for data analytics. Data analytics suffers if a firm cannot ensure data quality for a wider breadth of data, quickly onboard new datasets, support models that generate insights from data, and provide a means of measuring outcomes from using those analytics.

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